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On-Demand Data Integration on the Cloud

Author:
Ghafour, Samer Abdul
,
Barhamgi, Mahmoud
,
Ghodous, Parisa
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/IS3C.2014.172
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1070254
Keyword(s): differentiation,n dust,n image denoising,n image texture,n mining,n AA model,n Aubert-Aujol model,n EPI,n PSNR,n coal dust image denoising identification,n complex underground mine environment,n edge-preserving index,n fractional calculus theory,n fractional-order differentiate adaptive algorithm,n image noise elimination,n image point,n image processing,n model parameter selection,n noise effect,n nontexture region,n peak signal-to-noi
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    On-Demand Data Integration on the Cloud

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contributor authorGhafour, Samer Abdul
contributor authorBarhamgi, Mahmoud
contributor authorGhodous, Parisa
date accessioned2020-03-12T22:04:08Z
date available2020-03-12T22:04:08Z
date issued2014
identifier other6973833.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1070254
formatgeneral
languageEnglish
publisherIEEE
titleOn-Demand Data Integration on the Cloud
typeConference Paper
contenttypeMetadata Only
identifier padid8205713
subject keywordsdifferentiation
subject keywordsn dust
subject keywordsn image denoising
subject keywordsn image texture
subject keywordsn mining
subject keywordsn AA model
subject keywordsn Aubert-Aujol model
subject keywordsn EPI
subject keywordsn PSNR
subject keywordsn coal dust image denoising identification
subject keywordsn complex underground mine environment
subject keywordsn edge-preserving index
subject keywordsn fractional calculus theory
subject keywordsn fractional-order differentiate adaptive algorithm
subject keywordsn image noise elimination
subject keywordsn image point
subject keywordsn image processing
subject keywordsn model parameter selection
subject keywordsn noise effect
subject keywordsn nontexture region
subject keywordsn peak signal-to-noi
identifier doi10.1109/IS3C.2014.172
journal titleloud Computing (CLOUD), 2014 IEEE 7th International Conference on
filesize345442
citations0
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